Search Engineer
3 weeks ago
Responsibilities
∙Design & implement search solutions: Architect and develop advanced search features using
OpenSearch/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms.
∙Index & template management: Create and maintain index templates, mappings, and
lifecycle policies to ensure data integrity, performance, and scalability.
∙Query pipeline development: Build and optimise custom query builders and search pipelines
tailored to complex business requirements.
∙AI/ML/LLM powered search: Leveraging LLMs and AI for data enrichment and improved
search relevance.
∙API development: Develop and maintain robust, scalable APIs for search using Python
(FastAPI).
∙Testing & quality assurance: Lead efforts in integration, regression, and performance testing
to ensure reliability and accuracy of search features.
∙DevOps & automation: Automate deployment and management of search infrastructure,
including index templates and search pipelines.
∙Collaboration: Work closely with data engineers and product teams to deliver high-quality
search experiences.
Requirements
∙5+ years experience with Elasticsearch or OpenSearch in production environments.
∙Experience with AI/LLM-based search experiences such as RAG, learning to rank and query
understanding.
∙Expert level expertise in Python, with experience building APIs (preferably FastAPI).
∙Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom
scoring, and query DSL.
∙Experience with index template management, lifecycle policies, and large-scale data
modelling.
∙Proficiency in designing and optimising search pipelines and custom query builders.
∙Must have practical hands-on experience developing software using AI-assisted tools and
workflows such as Cursor, Co-pilot,and Windsurf
∙Strong testing background: integration, regression, and performance testing.
∙DevOps skills: automation, CI/CD, and cloud infrastructure (AWS preferred).
∙Excellent communication and collaboration skills.
∙Experience with S3, AWS Lambda, and cloud-native architectures.
Why you’ll love it:
∙Green-field impact—architect the backbone of our data engine from the ground up.
∙Remote-first flexibility—work anywhere in India and set core hours that suit your life.
∙Small senior team—less bureaucracy, quicker decisions, visible results.
∙A collaborative, innovative, and supportive team culture.
Ready to build pipelines that power world’s smartest B2B sales intelligence platform? Apply
now—let’s talk
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